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Parallel accelerated isocontouring for out-of-core visualization
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Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics table of contents
San Francisco, California, United States
Pages 97-104  
Year of Publication: 1999
ISBN:1-58113-237-9
Authors
C. L. Bajaj  Department of Computer Sciences and TICAM, University of Texas, Austin, TX
V. Pascucci  Department of Computer Sciences and TICAM, University of Texas, Austin, TX
D. Thompson  Department of Computer Sciences and TICAM, University of Texas, Austin, TX
X. Y. Zhang  Department of Computer Sciences and TICAM, University of Texas, Austin, TX
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
IEEE-CS\TCCG : TC on Computer Graphics
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 25,   Citation Count: 23
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ABSTRACT

In this paper we introduce a scheme for static analysis that allows us to partition large geometric datasets at multiple levels of granularity to achieve both load balancing in parallel computations and minimal access to secondary memory in out-of-core computations. The idea is illustrated and fully exploited for the case of isosurface extraction, but extendible to a class of algorithms based on a small set of parameters and for which an appropriate static analysis can be performed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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ELLSIEPEN, P. Parallel isosurfacing in large unstructured datasets. In Proceedings of the Fifth Eurographics Workshop on Visualization in Scientific Computing (1994), M. Gobel, H. Muller, and B. Urban, Eds., Springer-Verlag, pp. 9-23.
 
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ELLSIEPEN, P. Parallel isosurfacing in large unstructed datasets. In Visualization in Scientific Computing (1995), Springer-Verlag, pp. 9-23.
 
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MIGUET, S., AND NICOD, J.-M. A load-balanced parallel implementation of the marching-cubes algorithm. Tech. Rep. 95-24, Ecole Normale SupGrieure de Lyon, October 3 1995.
 
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VAN KREVELD, M. Efficient methods for isoline extraction from a digital elevation model based on triangulated irregular networks. To appear, International Journal of Geographical Information Systems (1996). Also appeared as Technical Report UU-CS-1994-21, University of Utrecht, the Netherlands.
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CITED BY  23

Collaborative Colleagues:
C. L. Bajaj: colleagues
V. Pascucci: colleagues
D. Thompson: colleagues
X. Y. Zhang: colleagues